menu
arrow_back

Deploy Your Website on Cloud Run

Deploy Your Website on Cloud Run

1 个小时 5 个积分

GSP659

Google Cloud Self-Paced Labs

Overview

Running websites can be difficult with all of the overhead of creating and managing VMs, clusters, pods, services, etc. This is fine for larger, multi-tiered applications, but if you are just trying to get your website deployed and visible, it's a lot of overhead.

With Cloud Run, Google Cloud's implementation of Google's KNative framework, you can manage and deploy your website without any of the infrastructure overhead you experience with a VM or pure Kubernetes-based deployments. Not only is this a simpler approach from a management perspective, it also gives you the ability to "scale to zero" when there are no requests coming into your website.

Cloud Run brings "serverless" development to containers and can be run either on your own Google Kubernetes Engine (GKE) clusters or on a fully managed PaaS solution provided by Cloud Run. You will be running the latter scenario in this lab.

The exercises are ordered to reflect a common cloud developer experience:

  1. Create a Docker container from your application

  2. Deploy the container to Cloud Run

  3. Modify the website

  4. Roll out a new version with zero downtime

Architecture diagram

Below you can see the flow of the deployment and Cloud Run hosting.

Begin with a Docker image created via Cloud Build, which gets triggered from Cloud Shell, then deploy the image out to Cloud Run from a command in Cloud Shell.

db5f05c090d5ebcb.png

What you'll learn

  • How to build a Docker image using Cloud Build and upload it to gcr.io

  • How to deploy Docker images to Cloud Run

  • How to manage Cloud Run deployments

  • How to setup an endpoint for an application on Cloud Run

加入 Qwiklabs 即可阅读本实验的剩余内容…以及更多精彩内容!

  • 获取对“Google Cloud Console”的临时访问权限。
  • 200 多项实验,从入门级实验到高级实验,应有尽有。
  • 内容短小精悍,便于您按照自己的节奏进行学习。
加入以开始此实验
分数

—/100

Create Docker Container with Google Cloud Build

运行步骤

/ 20

Deploy Container To Cloud Run

运行步骤

/ 20

Create new revision with lower concurrency

运行步骤

/ 20

Make Changes To The Website

运行步骤

/ 20

Update website with zero downtime

运行步骤

/ 20